A survey of beam management for mmWave and THz communications towards 6G
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …
ushering in a new era of wireless communications. Beam management, namely initial …
A survey on goal-oriented semantic communication: Techniques, challenges, and future directions
Although many proposals have been developed for the sixth-generation (6G) technology,
realizing 6G is fraught with numerous fundamental interdisciplinary, multidisciplinary, and …
realizing 6G is fraught with numerous fundamental interdisciplinary, multidisciplinary, and …
AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation
This paper proposes a novel analytics-driven user assistance software validation approach
for quantum neural network (QNN) codes. The proposed analytics-driven QNN user …
for quantum neural network (QNN) codes. The proposed analytics-driven QNN user …
[HTML][HTML] Distributed deep reinforcement learning: A survey and a multi-player multi-agent learning toolbox
With the breakthrough of AlphaGo, deep reinforcement learning has become a recognized
technique for solving sequential decision-making problems. Despite its reputation, data …
technique for solving sequential decision-making problems. Despite its reputation, data …
Transitioning From Federated Learning to Quantum Federated Learning in Internet of Things: A Comprehensive Survey
Quantum Federated Learning (QFL) recently becomes a promising approach with the
potential to revolutionize Machine Learning (ML). It merges the established strengths of …
potential to revolutionize Machine Learning (ML). It merges the established strengths of …
Semantics alignment via split learning for resilient multi-user semantic communication
Recent studies on semantic communication commonly rely on neural network (NN) based
transceivers such as deep joint source and channel coding (DeepJSCC). Unlike traditional …
transceivers such as deep joint source and channel coding (DeepJSCC). Unlike traditional …
[HTML][HTML] Understanding global aggregation and optimization of federated learning
We investigate the hypothesis that exploring Federated Learning (FL) aggregation methods
can enhance training processes within FL frameworks, particularly in resource-constrained …
can enhance training processes within FL frameworks, particularly in resource-constrained …
A Contemporary Survey of Recent Advances in Federated Learning: Taxonomies, Applications, and Challenges
Abstract The Internet of Things (IoT) has embedded itself in our daily lives, offering smart
services and AI-driven applications. However, traditional AI methods face challenges due to …
services and AI-driven applications. However, traditional AI methods face challenges due to …
[HTML][HTML] Security provisions in smart edge computing devices using blockchain and machine learning algorithms: a novel approach
It is difficult to manage massive amounts of data in an overlying environment with a single
server. Therefore, it is necessary to comprehend the security provisions for erratic data in a …
server. Therefore, it is necessary to comprehend the security provisions for erratic data in a …
The Entanglement of Communication and Computing in Enabling Edge Intelligence
J Li, T Mahmoodi - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Although edge intelligence (EI) propels the development of Internet of Things (IoT)
applications to a new stage, the distributed nature of the end users in EI networks greatly …
applications to a new stage, the distributed nature of the end users in EI networks greatly …